Rachmano, Jody Ridho and Tertiana, Invanos and Pratama, Aditya T. (2015) Improving Productivity of APC2 Line of PT. Mercedes-Benz Indonesia by Applying Line Balancing and Six Sigma. Bachelor thesis, Swiss German University.

Preview	Text Jody Rachmano 11211087 TOC.pdf Download (311kB) | Preview
	Text Jody Rachmano 11211087 1.pdf Restricted to Registered users only Download (163kB)
	Text Jody Rachmano 11211087 2.pdf Restricted to Registered users only Download (635kB)
	Text Jody Rachmano 11211087 3.pdf Restricted to Registered users only Download (460kB)
	Text Jody Rachmano 11211087 4.pdf Restricted to Registered users only Download (1MB)
	Text Jody Rachmano 11211087 5.pdf Restricted to Registered users only Download (244kB)
Preview	Text Jody Rachmano 11211087 Ref.pdf Download (96kB) | Preview

Abstract

Six Sigma is a framework that is used to improve effectiveness and efficiency. The effectiveness of an assembly line could be measured by looking at the capability of the assembly line to achieve production target whereas the efficiency of an assembly line could be measured by looking at the capability of the assembly line to process parts within takt time. However, problem occurs in the assembly line and thus making it unable to achieve production target and process parts within the desired takt time. The DMAIC Methodology is done to find the root causes of the problem, which are shortage of material and uneven workload distribution. The solution to the shortage of material root cause is to make improvements in Material Requirement Planning (MRP) whereas the solution to the unbalance workload among station is to perform Assembly Line Balancing. The Assembly Line Balancing is also done and proven that it can solve the problem by reducing cycle time and thus increasing throughput. The result of Assembly Line Balancing is simulated to determine the long-term output.

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	Effective; Efficient; Six Sigma Framework; DMAIC Methodology; Assembly Line Balancing; Simulation
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD56 Industrial productivity T Technology > T Technology (General) > T55.4 Industrial engineering. Management engineering
Divisions:	Faculty of Engineering and Information Technology > Department of Industrial Engineering
Depositing User:	Atroridho Rizky
Date Deposited:	12 Jan 2021 14:09
Last Modified:	12 Jan 2021 14:09
URI:	http://repository.sgu.ac.id/id/eprint/1700

Actions (login required)

View Item